Bayesian Machine Learning (part -5) Introduction: Expectation-Maximization In this blog we are going to see how Expectation-maximization algorithm works very closely. This blog is in… Read More »Bayesian Machine Learning Part 5
Artificial Intelligence and Machine Learning are accelerating and refining various industries. One of the most rapidly developing and progressive domains is Facial Recognition (FR). Its… Read More »Major Factors Keeping Facial Recognition from Mass Adoption
Stock trading has one of the most complex and complicated dynamics in the present day world. In today’s time, multiple algorithms and researches have been… Read More »Scraping Nasdaq news using Python
In my previous post, I discussed the relationship between role conflict and performance. I suggested that all things being equal, role conflict might be the… Read More »Constructing Role Objects and Interpreting Role Conflicts Through the Lens of Stress
Visualizing census data could not be easier thanks to few great packages in R. Not that in Python you could not do spatial analysis/visualization of… Read More »Making maps to visualize census data
In my many years as a data scientist, I’ve spent more time doing forecast work than any other type of predictive modeling. Often as not,… Read More »Nowcasting Chicago Crime with Python-Pandas, and R.
According to the “Future of Jobs 2018” report, it is said that with advancement in machines and artificial intelligence it is likely that these technologies… Read More »What are the prerequisite skills required to become a data scientist in 2019?
Introduction “The question is not whether intelligent machines can have any emotions, but whether machines can be intelligent without any emotions”. Marvin Minsky The… Read More »Can AI detect emotions better than humans?
This 12-page document lists hundreds of Excel functions and formulas, covering Lookup/Ref Functions String/Text Functions Date/Time Functions Math/Trig Functions Statistical Functions Logical Functions Information Functions… Read More »Excel Cheat Sheet
Many times, complex models are not enough (or too heavy), or not necessary, to get great, robust, sustainable insights out of data. Deep analytical thinking… Read More »Time series, Growth Modeling and Data Science Wizardy
